Using Data For EVIL

Data Science, Ethics, Policy & Privacy
Location: Palace Suite - Buckingham Room Level: Non-technical
Average rating: ****.
(4.73, 11 ratings)
Slides:   1-PDF 

It’s hard to be good. It takes effort, and nobody ever appreciates it anyway. It’s surprisingly easy to do evil when you have access to large volumes of data and an analytical mindset.

This session will give you a quick and easy guide to becoming an evil overlord of data without really trying. With (probably) anonymized examples from the real world we will show how ordinary data scientists can have a real impact on the world around them, with very little effort.

To do this you need to move beyond simply not doing good, and enter the world of the evil data scientist. It’s a world where advanced inferences from the data you gave away without a thought make privacy a thing of the past; where risk models mean your enemies better watch their behavior if they ever want a mortgage; and where there is nothing more suspicious than a person who won’t reveal their data.

You could use this talk to consider how to avoid ethical dilemmas, to develop ways to deal responsibly with data, or even to do good. But that would be perverse.

There may be volcanoes.

Photo of Francine Bennett

Francine Bennett

Mastodon C

Francine Bennett is a data scientist, and is the CEO and cofounder of Mastodon C. Mastodon C are agile big data specialists, who offer the open source Hadoop-powered technology and the technical and analytical skills which help organisations to realise the potential of their data.

Before founding Mastodon C, she spent a number of years working on big data analysis for search engines, helping them to turn lots of data into even more money. She enjoys good coffee, running, sleeping as much as possible, and exploring large datasets. She is one of the founding Directors of DataKind UK.

Photo of Duncan Ross

Duncan Ross

Times Higher Education

Duncan has been a data miner since the mid 1990s. He was Director of Advanced Analytics at Teradata until 2010, leaving to become Data Director of Experian UK. He recently rejoined Teradata to lead their European Data Science team.

At Teradata he has been responsible for developing analytical solutions across a number of industries, including warranty and root cause analysis in manufacturing, and social network analysis in telecommunications. These solutions have been developed directly with customers and have been deployed against some of the largest consumer bases in Europe.

In his spare time Duncan has been a city Councillor, chair of a national charity, founded an award winning farmers’ market, and is one of the founding Directors of the Institute of Data Miners.


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